• DocumentCode
    2919864
  • Title

    Rock Porosity and Fracture Parameter Estimation by Image Technique

  • Author

    Wang, W.X. ; Jia, Z.P.

  • Author_Institution
    Henan Polytech. Univ., JiaoZuo, China
  • Volume
    2
  • fYear
    2009
  • fDate
    21-22 Nov. 2009
  • Firstpage
    563
  • Lastpage
    566
  • Abstract
    To estimate rock porosity in 2D and 3D, we used image technique to analyse rock fracture network. We set up some models to characterize the network, based on the models, we used Best fit Ferret method to auto-determine fracture zone, then, skeleton fractures to obtain endpoints, junctions, holes, particles, and branches. Based on the new parameters and a part of common parameters, the fracture network density, porosity, connectivity and complexities can be obtained, and fracture network is characterized. In the following, we first present a basic consideration and the basic parameters for fractures (Primary study of characteristics of rock fractures), then, setup a model for fracture network analysis (Fracture network analysis), consequently to use the model to analyse fracture network in different images (Two dimensional fracture network analysis based on slices), and finally give conclusions and suggestions.
  • Keywords
    fracture; geotechnical engineering; image processing; mechanical engineering computing; parameter estimation; porosity; rocks; Best fit Ferret method; fracture network complexity; fracture network connectivity; fracture network density; fracture network porosity; fracture parameter estimation; image technique; rock fracture network analysis; rock porosity estimation; skeleton fractures; Displays; Image analysis; Image processing; Lightning; Nuclear measurements; Parameter estimation; Skeleton; Testing; Transportation; Uncertainty; fracture; image; porocity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Information Technology Application, 2009. IITA 2009. Third International Symposium on
  • Conference_Location
    Nanchang
  • Print_ISBN
    978-0-7695-3859-4
  • Type

    conf

  • DOI
    10.1109/IITA.2009.441
  • Filename
    5369568